The implementation of the NIST RMF in cloud environments is a crucial step toward enhancing cybersecurity, ensuring ...

and manage the risks associated with Artificial Intelligence systems—using best practices from the NIST AI Risk Management Framework (AI RMF) and ISO/IEC 23894 and 42001. As organizations across ...

Healthcare organizations are increasingly preparing for the inevitability of cyberattacks, but many still fall short in ...

The initiative builds on the NIST AI Risk Management Framework, emphasizing the need for security, resilience, and robustness in AI deployment while also highlighting the importance of aligning ...

K2 Integrity hosted a webinar discussing generative AI, its associated risks, governance strategies, and the future ...

ATLAS is part of the MITRE ATT@CK framework, which provides a more holistic cyber framework. In addition, the NIST AI Risk ...

In the United States, commercial players such as OpenAI and Google are leading the charge with large-scale language models ...

Security and compliance concerns consistently top the list of reasons why enterprises hesitate to invest in AI. Industry ...

In this business solutions TRiSM helps businesses mitigate risks, enhance brand trust, and secure long-term competitiveness, ...